Instructions to use LaurentiuStancioiu/xlm-roberta-base-finetuned-panx-all with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use LaurentiuStancioiu/xlm-roberta-base-finetuned-panx-all with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="LaurentiuStancioiu/xlm-roberta-base-finetuned-panx-all")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("LaurentiuStancioiu/xlm-roberta-base-finetuned-panx-all") model = AutoModelForTokenClassification.from_pretrained("LaurentiuStancioiu/xlm-roberta-base-finetuned-panx-all", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8393f28d643ae099449fc846375c0bbd00cbb325c95a74a4fd1b2d565d1c8dd5
- Size of remote file:
- 2.93 kB
- SHA256:
- e2cfbbc5aa2d0d6c2e8ce3b200069e051dc4aab21c2a5101ff7051250ce28d54
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